Spatial Barcode Tissue Mapping for Precise Surgical Margins
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Solution Overview
Problem
Existing methods fail to provide comprehensive spatial information about analyte distribution within tissues, particularly in determining surgical margins, leading to inadequate resection and potential recurrence of tissue abnormalities.
Innovation Solution
A method involving capture probes with spatial barcodes that hybridize to analytes in tissue sections, allowing for high-resolution spatial analysis and comparison of analyte presence across different locations to determine surgical margins and reduce re-excision risk.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods are used to determine surgical margins, then the process is simple and quick, but the precision and completeness of margin identification is insufficient leading to inadequate resection
Solution Approach 1:
The tissue section is divided into multiple spatial locations that are individually analyzed. Each location is processed separately with capture probes, allowing precise identification of analyte distribution across different regions of the tissue, thereby improving surgical margin identification precision while managing complexity through systematic segmentation
Solution Approach 2:
The method transitions from traditional two-dimensional histological analysis to three-dimensional spatial analysis by incorporating depth information through tissue sectioning and corresponding spatial barcodes. This dimensional enhancement allows comprehensive mapping of analyte distribution throughout the tissue volume, significantly improving margin identification precision
2Reliability
If traditional resection methods are used, then the surgical procedure is straightforward, but the risk of recurrence and need for re-excision is high
Solution Approach 1:
The surgical margin identification is performed before the actual resection procedure using the spatial analysis method with capture probes and sequencing. This preliminary analysis provides a detailed map of analyte distribution and precise margin locations, allowing surgeons to plan complete resection in advance and reduce the risk of recurrence, thereby improving resection completeness without significantly extending total treatment time
Solution Approach 2:
The method provides detailed feedback on analyte distribution and margin identification that guides the resection process. By comparing analyte presence across multiple spatial locations, the system gives precise feedback on where complete resection is needed, improving the reliability of achieving complete margin removal and reducing the need for re-excision
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables precise identification of surgical margins and reduces the risk of re-excision and recurrence of tissue abnormalities by providing detailed spatial analyte distribution data.
Implementation Method 1
a capture probe of the plurality of capture probes comprises (i) a capture domain that hybridizes to an analyte of the tissue section
Implementation Method 2
permeabilizing the tissue section and hybridizing the analyte to the capture domain
Data Source
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AI summary
Provided herein are methods of determining a surgical margin and the site and size of a tissue to be resected from a subject, and methods of use thereof.